Use the Seq2Seq method to implement machine translation and use the Attention mechanism to improve the performence
NLP_translation.py: implement model training and testingAttention.py: Using Seq2Seq with attenionPlainSeq2Seq.py : Using Seq2Seq without attentionWe also store the model and the DataSets in the directory ./data/nmt
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END TO END ASR TRANSFORMER 本项目基于transformer 6*encoder+6*decoder的基本结构构造的端到端的语音识别系统 Model Instructions 1.数据准备: 自行下载数据，遵循文件结构如下： ├── data │ ├── train │
Dé op-de-vlucht Pieton vertaler. Wereldwijd gebruikt door meer dan 1.000+ succesvolle bedrijven!
NLP_Chinese_down_stream_task 自学的NLP子任务，供学习参考 任务1 ：短文本分类 (1).数据集：THUCNews中文文本数据集(10分类) (2).模型：BERT+FC/LSTM，Pytorch实现 (3).使用方法： 预训练模型使用的是中文BERT-WWM, 下载地
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With DataQA, you can label unstructured text documents using rule-based distant supervision.
ASCEND (A Spontaneous Chinese-English Dataset) introduces a high-quality resource of spontaneous multi-turn conversational dialogue Chinese-English code-switching corpus collected in Hong Kong.
A simple Flask site that allows users to create, update, and delete posts in a database, as well as perform basic NLP tasks on the posts.
speech Speech is an open-source package to build end-to-end models for automatic speech recognition. Sequence-to-sequence models with attention, Conne
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Production First and Production Ready End-to-End Keyword Spotting Toolkit
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